Introduction

On the 21st September 2018, the 1ST CTTC Workshop will be held at the Melià Hotel, in Sitges. The aim is to get together all the researchers at CTTC so that they can share and put in common their personal works. Sessions have been structured following the different panel sessions that will be held; that is, one per division: Geomatics, Communication Technologies, Communication Networks and Communication Systems.

Invited Speakers

Fabio Remondino graduated in 1998 in Environmental Engineering at the Polytechnic of Milan (Italy). He then obtained a PhD from ETH Zurich in 2006 in Photogrammetry. Since 2007 he has been a researcher at the Fondazione Bruno Kessler (FBK) of Trento where he leads the 3D Optical Metrology research unit. In 2012 he obtained the qualification as Full Professor in Geomatics and from 2015 he teaches Surveying at the University of Bologna (Italy). His R&D interests are in the field of image data processing, sensors and data fusion and 3D modeling. He authored 8 books, 9 book chapters and more than 200 scientific publications at conferences and on journals, he has organized more than 40 conferences, tutorials and summerschool and founded 3 spin-offs. He is serving as President of ISPRS Tech Comm 2 "Photogrammetry", Vice-President of EuroSDR and Vice-President of CIPA Heritage Documentation.

Geomatics and Geoinformatics are nowadays a vital part of any country’s national infrastructure and citizen life. We are witnessing large technological developments which are fundamentally changing how we live, work, operate and deliver value. Among these technologies, photogrammetry is playing an important role, revolutionizing how images can provide semantic 3D data. The talk presents an overview of latest developments and improvements in the photogrammetric (and nearby) field, from ubiquitous sensing to machine learning, from 3D city modeling to heritage documentation. Open issues for research and development in the field of photogrammetry are also given.

Alain Staron is in charge of the digital transformation of the company at Veolia. He is also member of the Board at European Telecom Standardization Institute, and acts as an Innovation Catalyst, leveraging Ecosystems at Amborella. He has had multiple management positions over the course of his career in both start-up structures and large corporations in the sectors of Environment, Smart Things, Urban Mobility, Artificial Intelligence, Media, Telecom, IT and Internet, including Veolia, Transdev, Orange, TF1, Thomson, Thales.

He launched several innovative businesses for large corporations and created, developed and marketed a number of innovative products and services including with his own start-up. He won 2 prizes for Innovation and wrote over 15 patents. Alain is graduate from Ecole Polytechnique, received an engineering degree from Ecole Nationale des Télécommunications, and hols a PhD in Signal Processing.

How IoT/AI couple is drastically changing the utilities business? State of the art technologies improve performance of the teams, command for new ways to work, introduce customer centric management processes, and, last but not least, revisit business modens and value proposition of the companies. Utilities came late in the transformation game, not meaning they won't have to do it quickly. Well driven technological developments will help.

Fredrik Tillman received his Msc and PhD in Circuit Design from Lund University in 2000 and 2005 respectively. From 2006 through 2007 he worked on CMOS RF ASIC design at Ericsson Mobile Platforms in Lund (Sweden) and Raleigh (USA). Since 2008 Dr. Tillman has been a technical manager at Ericsson Research with focus on CMOS circuit design, and acted as the Ericsson responsible for several European collaboration projects. In 2015 Dr. Tillman worked on the Ericsson radio DOT system in Ottawa (Canada) and is currently heading the Integrated Radio Systems department at Ericsson Research.

To commercially exploit new 5G bands at mm-Wave frequencies, the installation and operation costs for network providers must not deviate from the trend of current 4G deployments. This means that the mm-Wave radio hardware integration level will continue to be critical for cost reduction. The need for integrated radio solutions is further aggravated, as the mm-Wave carriers use antenna arrays, beamforming and MIMO technologies to reach the needed link budgets. This workshop presentation will highlight challenges and opportunities when building mm-Wave radios in cost efficient ways. The first 3GPP release of the NR standard will be discussed and examples of associated implications on the radio hardware realization will be given.

Ignacio de Miguel received his Telecommunication Engineer degree in 1997, and his Ph.D. degree in 2002, both from Universidad de Valladolid, Spain. Since 1997 he has worked as a Lecturer at Universidad de Valladolid, and he is currently an Associate Professor. He has also been a Visiting Research Fellow at University College London (UCL), UK, working in the Optical Networks Group. His research interests are the design and performance evaluation of optical networks, especially cognitive optical networks.

He has published more than 30 papers in international journals, more than 140 conference contributions, and has collaborated as a reviewer for more than 20 journals. He has been a member of the Technical Programme Committee (TPC) of several international conferences (IEEE ICC 2008, NOC 2004-2013, EuCNC 2014, ACP 2016), besides being chair of the TPC and of the local organizing committee of NOC 2009. He is the coordinator of the Master in Telecommunication Engineering and of the Master in Big Data Science at Universidad de Valladolid, and he has supervised more than 50 Bachelor or Master Theses, and 2 PhD theses.

Dr. de Miguel is the recipient of the Nortel Networks Prize to the best PhD Thesis on Optical Internet in 2002, awarded by the Spanish Institute and Association of Telecommunication Engineers (COIT/AEIT). He also received the 1997 Innovation and Development Regional Prize for his Graduation Project.

Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This talk will provide an overview of AI techniques and their use in optical communication systems and networks with the aim of improving performance. Areas of application include optical transmission, performance monitoring, quality of transmission estimation, as well as optical network planning and operation. A summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future will also be presented.

Dr. Rossi is Associate Professor at the Department of Information Engineering (DEI), University of Padova (UNIPD), Italy. His research interests include: optimization and protocol design for distributed sensing systems (Internet of Things, IoT), optimization of mobile networks in the presence of renewable energy sources and human data analytics, with focus on wearable IoT devices and smart health. He has authored more than 100 scientific papers published in International Journals, conferences and book chapters, two patents and has been the recipient of five best paper awards from the IEEE. Since 2005, he has held collaborations with major industrial partners such as DOCOMO (2005-2009), SAMSUNG (2014-2015), and INTEL (2016-2018), and has participated in numerous EU projects, recently with leading role. In 2005-2009, he has collaborated with DOCOMO Euro-Labs (Munich, Germany) in the design of distributed processing, storage and data dissemination protocols for ad hoc networks. Since 2010, he has been working with WorldSensing (Barcelona, Spain) on sensing solutions for Smart Cities, such as traffic monitoring and mobility prediction and, since 2016, with INTEL in the design of intelligent sensing systems. Since 2002, he has been involved in EU projects on IoT such as EYES (protocols for energy efficient WSN, 2002-2005), e-SENSE (protocols and architectures for WSN, 2004-2007), SENSEI (WSN as enablers of the future Internet, 2007-2010) and SWAP (Marie Curie, Symbiotic Wireless Autonomous Powered systems, 2010-2014). In 2010-2013, he has been the technical coordinator of the protocol design activity (WP3) within the EU IOT-A project (the flagship FP7 EU project on Internet of Things Architectures, 2010-2013) and a senior Marie Curie researcher within SWAP. Since 2010, he has been the Principal Investigator of six research projects, including MOSAIC ("MOnitoring Sensor and Actuator networks through Integrated Compressive Sensing and data gathering", 2010-2012), a SAMSUNG GRO award on biometric signal processing for wearable IoT devices (2014-2015), the H2020 MSCA ITN SCAVENGE on mobile networks exploiting ambient energy (2016-2019) and the IoT-SURF project on software libraries and processing tools for IoT objects (2016-2017). At the University of Padova, Prof. Rossi teaches two Master-level courses, respectively covering wireless systems (Master degree on “ICT for Internet and Multimedia, MIME”) and applied machine learning (jointly offered to MIME and to the Master degree in Data Science). From 2011 to 2016, Dr. Rossi has been Associate Editor of the IEEE Transactions on Wireless Communications. Since January 2016, he is Associate Editor of the IEEE Transactions on Mobile Computing. He is a Senior Member of the IEEE.For additional information, see: http://www.dei.unipd.it/~rossi/.

ON THE USE OF MACHINE LEARNING TECHNOLOGIES IN TELECOMMUNICATION SYSTEMS

The objective of this talk is to illustrate how Machine Learning (ML) techniques can benefit telecommunication networks, and smart wearable systems. To keep things practical, I will touch upon three concrete applications from my recent research work, covering various aspects of modern mobile and sensing technology, trying to emphasize what ML can offer to these domains. These examples explore the use of feature extraction, reinforcement learning and forecasting. I will start with a user identification task for wearable computing, showing how feature extraction through convolutional neural networks, followed by sequential learning, can be used to reliably identify users from the inertial signals produced by their smartphones. A second example deals with the design of deep reinforcement learning systems, with application to dynamic adaptive video streaming operating over a wireless channel. In the last example, I will discuss the use of forecasting within future mobile networks with energy harvesting capabilities, showing the usefulness of learning harvested energy and traffic load dynamics within predictive control applications.

Roger Giralt is, since September 2016, Head of Car Connectivity Planning at SEAT. He is responsible to define, lead and decide the strategy and projects of SEAT within the scope of Connectivity; leading teams within Electrical Department to meet the goals set in the SEAT connectivity strategy, defining their priorities and tasks.

Prior to that, he was responsible for different areas in the same company: Head of Connected Car, Team and Project Leader.

The automotive sector has entered in a new era, where innovation accelerates thanks to connectivity and software.

In this session it will be revised the reasons of why the connected car takes place in this decade, what is the contents in terms of technology and solutions that provides with clear examples from SEAT.

How connectivity is embracing new relationships across sectors which were never linked before and the impact that causes in the traditional structure and methodology in the company.

Finally get a look to the future in the automotive sector, completely influenced by digitalization, mobility and electrification.